http://www.sfbay.mrj.com:80/jobs/data9703des.html
The Data Exploitation group works on the algorithms and systems required
to visualize "big data objects" and "big data collections". Big data objects
are single data sets so large that they do not fit within the local memory
of desktop workstations (and may not fit on local disk). Big data collections
are aggregates of smaller data sets that in total result in a problem of
capacity, distribution, data location, and data compatibility. Both areas
have recently become known more popularly as "Terascale Visualization".
Research Scientist (DATA9703DE1)
Research Scientist in "Terascale Visualization". The problem of
"Terascale Visualization" is multi-disciplinary, and will likely
draw from such disciplines as visualization, computational geometry,
operating and distributed systems, numerical analysis, databases,
signal processing, parallel processing, and aeronautics and the other
underlying sciences. This candidate will be expected to derive new
approaches to Terascale Visualization, and demonstrate their efficacy
within real visualization systems. Ph.D. in Computer Science
desired, or equivalent.
Software Engineer (DATA9703DE2)
"Data Toolsmith" in "big data collections". Software Engineer to develop
tools and systems for the integration of diverse multi-disciplinary data.
This candidate will be expected to build systems for access to and
management of diverse data such as images, animations, text,
multi-dimensional scientific data and meta-data, etc for easy query and
access by users within NASA. Largely these systems will be constructed
with available tools such as relational databases, distributed objects
(CORBA), java, extended-relational and object-oriented databases,
heterogeneous data integration systems such as Stanford TSIMMIS, etc.
The candidate will work closely with both computer science researchers
at NASA and at universities to develop tools for use primarily within
NASA. While results may be published and experience may generate
research questions, the toolsmith efforts are expected to be primarily
"practice and experience" in nature, resulting in working systems.
B.S. or M.S. in Computer Science desired, or equivalent.
Ph.D.'s with a desire to build working systems encouraged to apply.
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